Knowledge Sharing and Innovative work Behavior: A Quantitative Study of Pharmaceutical Engineers in Morocco

Houssam Baakir & Hanane Ellioua

Electronic Journal of Knowledge Management2025https://doi.org/10.34190/ejkm.23.2.4029article
ABDC C
Weight
0.50

What the paper says

In the fast-moving industrial environment of the world today, the importance of promoting innovation has clearly increased as a key driver of business performance. Nowhere is this more obvious than in the pharmaceutical industry, where the quest for advances in Research and development is viewed as crucial. Developing an awareness of the drivers of innovative working behavior among workforce members is of the highest priority, and this study investigates the link between knowledge sharing and innovative work behavior among pharmaceutical engineers in Morocco. Despite the increasing relevance of innovation in the pharmaceutical sector, studies on the effects of knowledge sharing in non-Western contexts are limited. This gap demonstrates the necessity for further research aimed at the Moroccan environment, where hierarchical structures and limited R&D capabilities influence knowledge-sharing practices. A sample of 286 pharmaceutical engineers contributed to a quantitative research study. The findings indicate that knowledge donating and knowledge collecting positively impact innovative work behavior, with knowledge donating exerts a greater influence. The paper highlights the value of promoting a culture of knowledge sharing to stimulate innovation. Limitations identified relate to the choice of convenience sampling and the restriction to a single sector. Additional investigation could be conducted in other sectors to better understand the links between knowledge sharing and innovative work behavior.

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https://doi.org/https://doi.org/10.34190/ejkm.23.2.4029

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@article{houssam2025,
  title        = {{Knowledge Sharing and Innovative work Behavior: A Quantitative Study of Pharmaceutical Engineers in Morocco}},
  author       = {Houssam Baakir & Hanane Ellioua},
  journal      = {Electronic Journal of Knowledge Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.34190/ejkm.23.2.4029},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.